other:python:misc_by_jyp
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| Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
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other:python:misc_by_jyp [2022/02/21 12:47] jypeter [Sorting] Added link to numpy routines |
other:python:misc_by_jyp [2022/02/21 14:47] jypeter [numpy related stuff] Added np.unique example |
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| >>> sorted(demo_dic.keys(), key=lambda key_name:demo_dic[key_name]) | >>> sorted(demo_dic.keys(), key=lambda key_name:demo_dic[key_name]) | ||
| ['c', 'd', 'b', 'a']</code> | ['c', 'd', 'b', 'a']</code> | ||
| + | |||
| + | ==== numpy related stuff ==== | ||
| + | |||
| + | === Finding and counting unique values === | ||
| + | |||
| + | Use ''np.unique'', do **not** try to use histogram related functions! | ||
| + | |||
| + | <code>>>> vals = np.random.randint(2, 5, (10,)) * 0.5 # Get 10 discreet float values | ||
| + | >>> vals | ||
| + | array([1. , 2. , 1. , 2. , 2. , 1.5, 1. , 1.5, 2. , 1.5]) | ||
| + | >>> np.unique(vals) | ||
| + | array([1. , 1.5, 2. ]) | ||
| + | >>> np.unique(vals, return_counts=True) | ||
| + | (array([1. , 1.5, 2. ]), array([3, 3, 4])) | ||
| + | >>> np.sort(vals) # Sorted copy, in order to check the result | ||
| + | array([1. , 1. , 1. , 1.5, 1.5, 1.5, 2. , 2. , 2. , 2. ])</code> | ||
other/python/misc_by_jyp.txt · Last modified: 2024/04/19 12:02 by jypeter
